Saat ini hampir semua tempat umum menyediakan fasilitas Wireless Fidelity (WiFi) publik. Pengguna yang terkoneksi melalui fasilitas tersebut terkadang sering abai terhadap faktor keamanan data dan ...jaringan, yang terpenting bagi mereka adalah dapat menikmati akses internet secara gratis. Dari sisi keamanan WiFi publik cukup rentan karena jaringan ini bisa saja dipergunakan oleh pihak-pihak yang kurang bertanggung jawab untuk mengambil data penting dari para penggunanya, karena dari segi akses tidak ada pembatasan. Tujuan dari penelitian ini adalah untuk mengembangkan sistem yang berfungsi sebagai router gateway dan sistem yang mampu mencegah terhadap upaya serangan yang berjalan pada perangkat mini komputer. Penelitian ini menggunakan metode Intrusion Prevention System (IPS), dimana sistem ini mampu mendeteksi sekaligus melakukan pencegahan adanya serangan. Dari hasil penelitian diperoleh bahwa portabel IPS telah berhasil dikembangkan dengan menggunakan Raspberry Pi 4 Model B dilengkapi dengan LCD TFT 3,50 inch dan catu daya dengan kapasitas 10.000 mAh serta Suricata yang dikonfigurasi sebagai IPS. Serangan berupa port scanning menggunakan aplikasi zenmap berhasil dideteksi oleh portabel IPS. Selain berfungsi sebagai IPS perangkat ini mampu menjadi router gateway. Catu daya portabel IPS mampu bertahan selama 34611,22 detik dengan sebuah smartphone sebagai client.
Permasalahan dalam sistem inventaris gudang gula saat ini terkait dengan metode konvensional penghitungan barang masuk/keluar. Proses ini melibatkan pekerja yang menggunakan stik kayu untuk mencatat ...jumlah barang. Saat pekerja mengambil karung gula, mereka juga mengambil stik kayu yang nantinya diserahkan kepada petugas. Petugas harus sangat berhati-hati agar tidak terjadi kesalahan, seperti pekerja mengambil lebih dari satu stik kayu, yang dapat mengakibatkan kesalahan perhitungan dan kerugian perusahaan. Untuk mengatasi permasalahan ini, penelitian ini bertujuan menyediakan solusi berupa alat bantu hitung berbasis Raspberry Pi. Alat ini dirancang untuk fleksibel, mudah dibawa, dan dapat digunakan di pintu gudang lain yang melayani Delivery Order (DO). Alat ini terkemas dalam sebuah koper kit dengan hasil penghitungannya ditampilkan pada LCD. Pekerja akan memasukkan data jumlah karung gula sesuai dengan DO dan menekan tombol counter setelah meletakkan karung gula pada kendaraan pengangkut. LCD akan menampilkan perhitungan maju/mundur hingga mencapai jumlah target karung gula yang telah diatur sebelumnya. Selain itu, alat dilengkapi dengan bunyi alarm sebagai tanda perhitungan telah selesai. Dengan demikian, implementasi alat ini diharapkan dapat mengurangi risiko kesalahan perhitungan dan meningkatkan efisiensi dalam manajemen inventaris gudang gula.
•A backpack containing equipment necessary to record EEG was worn as participants rode a bicycle outside.•EEG data from an auditory oddball task compared with data acquired within-subject inside the ...lab.•Reliable MMN/N2b and P3 responses measured during bicycle riding outside equal in magnitude to those obtained inside the lab.•Surprising decrease in the P2 component of the ERP evoked by targets and standards observed when doing the task outside on a bicycle.
Mobile EEG allows the investigation of brain activity in increasingly complex environments. In this study, EEG equipment was adapted for use and transportation in a backpack while cycling. Participants performed an auditory oddball task while cycling outside and sitting in an isolated chamber inside the lab. Cycling increased EEG noise and marginally diminished alpha amplitude. However, this increased noise did not influence the ability to measure reliable event related potentials (ERP). The P3 was similar in topography, and morphology when outside on the bike, with a lower amplitude in the outside cycling condition. There was only a minor decrease in the statistical power to measure reliable ERP effects. Unexpectedly, when biking outside significantly decreased P2 and increased N1 amplitude were observed when evoked by both standards and targets compared with sitting in the lab. This may be due to attentional processes filtering the overlapping sounds between the tones used and similar environmental frequencies. This study established methods for mobile recording of ERP signals. Future directions include investigating auditory P2 filtering inside the laboratory.
The learning process in training children with visual impairments and low vision requires the use of new devices that integrate image recognition and feedback on stimulation sequences with the senses ...of tactile and auditory responses into their design. Eighteen students with visual impairments (blind or low vision) between the ages of eight and twelve, who attend a school specialized in teaching children with visual impairments, completed three numerical stimulation routines. The software developed evaluates skills of addition and subtraction, identification of geometric shapes, and mental calculations to achieve a goal. The results of the test showed that the students performed better in the game dynamic than in the addition and subtraction routines. This study is a contribution to designing software for low-cost devices as it has been verified that this type of application works on both a laptop and a Raspberry pi device.
Mobile Security Operation Centre (mSOC) Walia, Sudhir; Kaleem, Qazi Mustafa; Abhi, Shinu
EAI endorsed transactions on internet of things,
2024, Letnik:
10
Journal Article
Recenzirano
Odprti dostop
Attacks on the internet are becoming increasingly threatening. For naïve home users, who are poorly protected, there is always an imminent danger of getting cyber attacked.
This paper is aimed to ...design and build an IoT-based Network Security device that would run as an access point for users to connect to the Internet in a home setting. The paper discusses a standalone perimeter security solution with Incident Response (IR) life cycle management and controls through an IoT device – Raspberry PI. Enterprise-level features such as Next Generation Firewall (NGFW), Network Intrusion Detection System (NIDS), Domain Control for Ad/Spam blocking, Security Information and Event Management (SIEM) for Log Co-ran System on Chip (SoC), which can be installed anywhere and carried for mobile operations. Hence, the name, Mobile Security Operation Centre (mSOC).
This solution intends to protect the user when browsing the internet and blocking or providing visibility to the malicious connections made to or from users. The mSOC can filter domains based on whitelist/blacklist and Regex Pattern. It can also identify the domains that are blocked or allowed. It also provides visibility to traffic, application statistics, and IP reputation. IP reputation and Malicious Domains then can act as input to the iptables for L3/L4 blocking. A Software User Interface is developed to integrate and manage multiple Open-Sourced applications like dnsmasq/ elk/ graylog/ SQlite3/ Iptables/ adminlte as a single product that could serve as a complete security solution for a home or Small Medium Business (SMB). Thus, the proposed solution secures naïve users from security exploitations.
Over the past decade, Apache Hadoop has become a leading framework for big data processing. Single board computer (SBC) clusters, predominantly adopting Raspberry Pi (RPi), have been employed to ...explore the potential of MapReduce processing in terms of low power and cost because, capital costs aside, power consumption has also become a primary concern in many industries. After building SBC clusters, it is prevalent to consider adding more nodes, particularly newer generation SBCs, to the existing clusters or replacing old (or inactive) nodes with new ones to improve performance, inevitably causing heterogeneous SBC clusters. The Hadoop framework on these heterogeneous SBC clusters creates challenging new problems due to computing resource discrepancies in each node. Native Hadoop does not carefully consider the heterogeneity of the cluster nodes. Consequently, heterogeneous SBC Hadoop clusters result in significant performance variation or, more critically, persistent node failures. This paper proposes a new Hadoop Yet Another Resource Negotiator (YARN) architecture design to improve MapReduce performance on heterogeneous SBC Hadoop clusters with tight computing resources. We newly implement two main scheduling policies on Hadoop YARN based on the correct computing resource information that each SBC node provides: (1) two (master-driven vs. slave-driven) MapReduce task scheduling frameworks to determine more effective processing modes and (2) ApplicationMaster (AM) and reduce task distribution mechanisms to provide the best Hadoop performance by minimizing performance variation. Thus, the proposed Hadoop framework makes the best use of the performance-frugal SBC Hadoop cluster by intelligently distributing MapReduce tasks to each node. To our knowledge, the proposed framework is the first redesigned Hadoop YARN architecture to address various challenging problems particularly on heterogeneous SBC Hadoop clusters for big data processing. The extensive experiments with Hadoop benchmarks demonstrate that the redesigned framework performs better performance than the native Hadoop by an average of 2.55× and 1.55× under I/O intensive and CPU-intensive workloads, respectively.
•Two redesigned Hadoop YARN MapReduce task scheduling policies.•A novel YARN ApplicationMaster (AM) and reduce task distribution mechanism.•Hadoop performance improvement on resource-frugal SBC Hadoop clusters.•Discussion and suggestion of various challenging problems.•An average of 2.55×, 1.55× improvement under I/O and CPU-intensive workloads.
The past few years have seen significant developments in Single Board Computer (SBC) hardware capabilities. These advances in SBCs translate directly into improvements in SBC clusters. In 2018 an ...individual SBC has more than four times the performance of a 64-node SBC cluster from 2013. This increase in performance has been accompanied by increases in energy efficiency (GFLOPS/W) and value for money (GFLOPS/$). We present systematic analysis of these metrics for three different SBC clusters composed of Raspberry Pi 3 Model B, Raspberry Pi 3 Model B+ and Odroid C2 nodes respectively. A 16-node SBC cluster can achieve up to 60GFLOPS, running at 80W. We believe that these improvements open new computational opportunities, whether this derives from a decrease in the physical volume required to provide a fixed amount of computation power for a portable cluster; or the amount of compute power that can be installed given a fixed budget in expendable compute scenarios. We also present a new SBC cluster construction form factor named Pi Stack; this has been designed to support edge compute applications rather than the educational use-cases favoured by previous methods. The improvements in SBC cluster performance and construction techniques mean that these SBC clusters are realising their potential as valuable developmental edge compute devices rather than just educational curiosities.
•Three 16 node clusters Single Board Computers (SBCs) have been benchmarked.•Raspberry Pi 3 Model B, Raspberry Pi 3 Model B+ and Odroid C2 have been benchmarked•The Odroid C2 cluster has the best performance.•The Odroid C2 cluster provides the best value for money and power efficiency.•The clusters use the novel Pi Stack cluster construction technique.•The Pi Stack is developed specifically for edge compute scenarios.•These modern SBC clusters can perform meaningful compute tasks.
With the advancements in IIoT tools and applications, real-time monitoring systems with remote access capabilities are gaining great interest. The use of these instruments in monitoring manufacturing ...processes can lead to enhanced performance and increased efficiency. In this paper, a real-time monitoring system using Raspberry Pi is developed for monitoring the maximum temperature and axial force during friction stir spot welding (FSSW). There are two sensors used in this experiment: a thermocouple and a load cell connected to a microcontroller via Node-RED. Through the use of the system and response surface methodology (RSM), three factors (tool rotation speed, plunge rate, and dwell time) were examined in relation to maximum temperatures and axial forces during FSSW. Models of maximum welding temperature and force were constructed based on multivariate regression and adaptive network fuzzy inference system (ANFIS). The monitoring system proved effective at measuring and tracking temperature and axial force in real time across multiple platforms.
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